| batch | Run a batch MATLAB® pool job |
| clear | Remove objects from MATLAB® workspace |
| createJob | Create job object in scheduler and client |
| createMatlabPoolJob | Create MATLAB® pool job |
| createParallelJob | Create parallel job object |
| defaultParallelConfig | Default parallel computing configuration |
| dfeval | Evaluate function using cluster |
| dfevalasync | Evaluate function asynchronously using cluster |
| findResource | Find available distributed computing resources |
| get | Object properties |
| help | Help for toolbox functions in Command Window |
| inspect | Open Property Inspector |
| jobStartup | M-file for user-defined options to run when job starts |
| length | Length of object array |
| matlabpool | Start parallel language worker pool |
| methods | List functions of object class |
| parfor | Execute block of code in parallel |
| pctconfig | Configure settings for Parallel Computing Toolbox™
client session |
| pctRunOnAll | Run command on client and all workers in matlabpool |
| pmode | Interactive parallel mode |
| set | Configure or display object properties |
| size | Size of object array |
| taskFinish | M-file for user-defined options to run when task finishes |
| taskStartup | M-file for user-defined options to run when task starts |
| cell | Create distributed cell array |
| dcolon | Distributed colon operation |
| defaultPartition | Default partition for distributed array |
| distributed | Create distributed array from local data |
| distributionDimension | Distributed dimension of distributed array |
| distributionPartition | Partition scheme of distributed array |
| distributor | Create distribution object for distributed arrays |
| eye | Create distributed identity matrix |
| false | Create distributed false array |
| for | for-loop over distributed range |
| gather | Convert distributed array into replicated array |
| gcat | Global concatenation |
| globalIndices | Global indices for local part of replicated array |
| gop | Global operation across all labs |
| gop | Global operation across all labs |
| gplus | Global addition |
| Inf | Create distributed array of Inf values |
| isdistributed | True for distributed array |
| isreplicated | True for replicated array |
| labBarrier | Block execution until all labs reach this call |
| labBroadcast | Send data to all labs or receive data sent to all labs |
| labGrid | Lab grid of '2d' distributed array |
| labindex | Index of this lab |
| labProbe | Test to see if messages are ready to be received from
other lab |
| labReceive | Receive data from another lab |
| labSend | Send data to another lab |
| labSendReceive | Simultaneously send data to and receive data from another
lab |
| localPart | Local portion of distributed array |
| mpiprofile | Profile parallel communication and execution times |
| NaN | Create distributed array of NaN values |
| numlabs | Total number of labs operating in parallel on current
job |
| ones | Create distributed array of 1s |
| pload | Load file into parallel session |
| psave | Save data from parallel job session |
| rand | Create distributed array of uniformly distributed pseudo-random
numbers |
| randn | Create distributed array of normally distributed random
values |
| redistribute | Redistribute a distributed array with another distribution
scheme |
| sparse | Create distributed sparse matrix |
| speye | Create distributed sparse identity matrix |
| sprand | Create distributed sparse array of uniformly distributed
pseudo-random values |
| sprandn | Create distributed sparse array of normally distributed
random values |
| true | Create distributed true array |
| zeros | Create distributed array of 0s |